Data Alchemy
eBook - ePub

Data Alchemy

The Genesis of Business Value

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Data Alchemy

The Genesis of Business Value

About this book

Beginning with the key challenges that enterprises face in generating value from data, this practical and provocative book systematically outlines practical processes, frameworks and data science and artificial intelligence toolkits to enable businesses to achieve better business outcomes. Written by two leading practitioners, this playbook explores the relationship between data, customer experience and business value. The book features illustrative examples and open source codes to enhance your business knowledge and provide the necessary actions relevant to any industry, and can be successfully deployed by business executives, data science innovators and practitioners. Referencing multi-cloud Agile DevOPs, Data Science and AI, the book addresses issues from defining and sizing projects to continuous development, continuous integration and continuous deployment. It breaks down the value journey into easy to understand steps that all businesses will find engaging and invaluable in their data-driven transformation.

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Yes, you can access Data Alchemy by Tirath Virdee,Doug Brown in PDF and/or ePUB format, as well as other popular books in Betriebswirtschaft & Unternehmensentwicklung. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. Back Cover
  3. Title
  4. Dedication
  5. Contents
  6. Acknowledgements
  7. Chapter 1: Alchemy and Data Intelligence
  8. Chapter 2: Data Intelligence and Value Exchange
  9. Chapter 3: Understanding Intelligence and Intelligent Systems 26
  10. Chapter 4: Data: Sources, Collection and Engineering
  11. Chapter 5: Artificial Learning Systems
  12. Chapter 6: The AI Landscape: Present and Future
  13. Chapter 7: Data Alchemy Decoded: Data Intelligence and Architecting for Data Value
  14. Chapter 8: The Future of Data and Intelligence
  15. Endnotes
  16. Copyright